background
logo
ArxivPaperAI

Universality in the fracture of silica glass

Author:
Somar Shekh Alshabab, Bernd Markert, Franz Bamer
Keyword:
Condensed Matter, Disordered Systems and Neural Networks, Disordered Systems and Neural Networks (cond-mat.dis-nn), Materials Science (cond-mat.mtrl-sci), Statistical Mechanics (cond-mat.stat-mech)
journal:
--
date:
2023-07-31 16:00:00
Abstract
The presence of universality of avalanches characterizing the inelastic response of disordered materials has the potential to bridge the gap from micro- to macroscale. In this study, we explore the statistics and the scaling behavior of avalanches in the fracture of silica glass on the microscale using molecular mechanics. We introduce a robust method for capturing and quantifying the avalanches, allowing us to perform rigorous statistical analysis, revealing universal power laws associated with critical phenomena. The computed exponents suggest that nanoscale fracture of silica belongs to the same universality class as depinning models. Additionally, the influence of an initial crack is explored, observing deviations from mean-field predictions while maintaining criticality. Furthermore, we investigate the strain-dependent probability density function (PDF), its cutoff function, and the interrelation between the critical exponents. Finally, we unveil distinct scaling behavior for small and large avalanches of the crack growth, shedding light on the underlying fracture mechanisms in silica glass.
PDF: Universality in the fracture of silica glass.pdf
Empowered by ChatGPT